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This dataset covers 26 verified records spread across 18+ cities in Uttar Pradesh. 26 records carry a verified phone number and 16 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Varanasi (4 listings), Ghaziabad (2 listings), Kanpur Dehat (2 listings), Allahabad (2 listings), Prayagraj (2 listings), Shamli (2 listings), Etawah (1 listings), and Basti (1 listings).
Additional coverage spans Bareilly (1), Gorakhpur (1), Aligarh (1), Kanpur (1), Muzaffarnagar (1), Kanpur Nagar (1), Kaushambi (1), Agra (1), Deoria (1), Unnao (1) .
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Varanasi | 4 | 4 | 4 |
| Ghaziabad | 2 | 2 | 1 |
| Kanpur Dehat | 2 | 2 | 0 |
| Allahabad | 2 | 2 | 2 |
| Prayagraj | 2 | 2 | 2 |
| Shamli | 2 | 2 | 0 |
| Etawah | 1 | 1 | 0 |
| Basti | 1 | 1 | 1 |
| Bareilly | 1 | 1 | 1 |
| Gorakhpur | 1 | 1 | 0 |
| All cities (18) | 26 | 26 | 16 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Varanasi | 4 | 4 | 4 |
| Ghaziabad | 2 | 2 | 1 |
| Kanpur Dehat | 2 | 2 | 0 |
| Allahabad | 2 | 2 | 2 |
| Prayagraj | 2 | 2 | 2 |
| Shamli | 2 | 2 | 0 |
| Etawah | 1 | 1 | 0 |
| Basti | 1 | 1 | 1 |
| Bareilly | 1 | 1 | 1 |
| Gorakhpur | 1 | 1 | 0 |
| Aligarh | 1 | 1 | 1 |
| Kanpur | 1 | 1 | 1 |
| Muzaffarnagar | 1 | 1 | 1 |
| Kanpur Nagar | 1 | 1 | 0 |
| Kaushambi | 1 | 1 | 1 |
| Agra | 1 | 1 | 1 |
| Deoria | 1 | 1 | 0 |
| Unnao | 1 | 1 | 0 |
| All cities (18) | 26 | 26 | 16 |
The Appliance Repair database for Uttar Pradesh, India includes 26+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Anil (IN) bought 1 week ago · Ragini (IN) bought 1 week ago · Gayatri (IN) bought 1 week ago · Kalyani (IN) bought 2 weeks ago · Mustafa (IN) bought 2 weeks ago
The Appliance Repair database for Uttar Pradesh, India contains 26+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
The complete Appliance Repair database for Uttar Pradesh, India is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.
Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live appliance repair footprint in Uttar Pradesh, India.
Yes. The Appliance Repair dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.
You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
This World Wide Data list covers 26+ verified records operating in Uttar Pradesh, India. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.
Last Update:
Jul 04, 2026 03:58 AM
Published:
May 11, 2026 02:29 AM
Rows (Extended):
26
Category:
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
